ライフサイエンスコーパス: grain protein

1 enzymes that the fungi may use to hydrolyze grain proteins.

2 economic and nutritional importance of rice grain protein and nutritional components of rice bran (R

3 ddition, the nutritional elements uptake and grain protein and phospholipid levels were significantly

4 ics simulations using newly developed coarse-grained protein and DNA models for evaluating how hydrod

5 combining biophysical simulations of coarse-grained proteins and analysis of proteins-complex crysta

6 suggest an emergent length scale for coarse-graining proteins, as well as a qualitative distinction

7 total aboveground biomass, grain yield, and grain protein concentration (GPC) varied depending on cu

8 ly associated with modern cultivars, whereas grain protein concentration and GVW were associated with

9 e show that down regulation of SPA decreases grain protein concentration at maturity under low but no

10 Wheat grain protein concentration is an important determinant

11 Total grain protein concentration was decreased by 9% at e[CO2

12 Grain yield, grain volume weight (GVW), and grain protein concentration were also measured.

13 eat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by -1.1 per

14 We use coarse grained protein conformational search, efficient robust

15 ta on five biochemical parameters, including grain protein content (GPC), grain amylose content (GAC)

16 Wheat grain protein content and composition are important for

17 er, but reduced grain size, specific weight, grain protein content and flour water absorption.

18 P13) may play important roles in determining grain protein content and grain yield.

19 nteraction had a significant effect on wheat grain protein content, where it was increased in W x R u

20 lowered with no detriment to carbon gain or grain protein content.

21 nally, a total of 10 QTL were identified for grain protein content.

22 te more flower-bearing spikelets and enhance grain protein content.

23 inding energies for each state of the coarse-grained protein corresponding to the symmetry of the dim

24 single nucleosomes using a predictive coarse-grained protein DNA model with transferable force fields

25 In this study, we use a coarse-grained protein-DNA model to investigate the origin of t

26 An alkaline extracted brewers' spent grain protein-enriched isolate (BSG-PI) was hydrolysed u

27 -helix forming alanine peptides and a coarse-grained protein folding model in explicit-solvent molecu

28 tructure, and energy model (AWSEM), a coarse-grained protein folding model that has been optimized us

29 onSize, Cohen d was small (<0.2) for fruits, grains, protein foods, and specific nutrients.

30 A predictive coarse-grained protein force field [associative memory, water-m

31 erlying the server's predictions is a coarse-grained protein force field which has its roots in neura

32 In this work, a predictive coarse-grained protein force field, the associative memory wate

33 Using a predictive coarse-grained protein force field, we compute and compare the

34 nd energy model (AWSEM), a predictive coarse-grained protein force field.

35 thy triggered by gliadin, a component of the grain protein gluten.

36 dels generated by different chemometrics for grain protein (GPC) and amylose content (AC) of BR and p

37 muffins with 2, 4, and 6 % of brewer's spent grain protein hydrolysates to enhance their in vitro ant

38 The use of grain proteins in various types of meat products is comm

39 rmore, we identified Up, which encodes a BIG GRAIN protein involved in auxin transport, as a key dome

40 detection of the method were <=5 or <=10 mg grain protein/kg meat product for each grain species and

41 genie's outputs that are converted to coarse-grained protein-level predictions compare favorably agai

42 We propose a realistic coarse-grained protein model and a technique to "anchor" the mo

43 The OPEP coarse-grained protein model has been applied to a wide range o

44 The coarse-grained protein model has been optimized with respect to

45 e folding landscape associated with a coarse-grained protein model of src homology 3 as sampled by mo

46 ogous protein sequences and develop a coarse-grained protein model specifically tailored to convert t

47 We use a coarse-grained protein model to characterize the critical nucle

48 tic algorithm to a sequence-dependent coarse-grained protein model to evolve the amino-acid sequences

49 We develop a coarse-grained protein model with a simplified amino acid inter

50 ng and p(fold) analysis using DMD and coarse-grained protein model with structure-based Go-interactio

51 Here, using a coarse-grained protein model, molecular dynamics (MD) simulatio

52 model known as AWSEM, a transferable coarse-grained protein model, we performed simulations of fused

53 l domains in a simulated cell using a coarse-grained protein model, which is based upon Langevin dyna

54 to determine effective potentials for coarse-grained protein models directly from protein databank st

55 On the other hand, coarse-grained protein models in implicit solvent miss essentia

56 ing surface water molecules, into the coarse-grained protein motions.

57 unfolding-refolding trajectories of a coarse-grained protein (S1) with beta-sheet architecture for se

58 ore significant differences in plant growth, grain protein, starch, fructan, and macro and micro-nutr

59 her MS-based footprinting can provide coarse-grained protein structure by following structural change

60 ute approximately half the sulfur needed for grain protein synthesis.

61 cence by more than 3 weeks and reduced wheat grain protein, zinc, and iron content by more than 30%.

62 tative trait locus associated with increased grain protein, zinc, and iron content.